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Journal Article
Tao, Ran, Donglin Zeng, Nora Franceschini, Kari E. North, Eric Boerwinkle, and Dan-Yu Lin. "Analysis of Sequence Data Under Multivariate Trait-Dependent Sampling." J Am Stat Assoc 110, no. 510 (2015): 560-572.
Little, Paul, Dan-Yu Lin, and Wei Sun. "Associating somatic mutations to clinical outcomes: a pan-cancer study of survival time." Genome Med 11, no. 1 (2019): 37.
Sun, Wei, Paul Bunn, Chong Jin, Paul Little, Vasyl Zhabotynsky, Charles M. Perou, David Neil Hayes, Mengjie Chen, and Dan-Yu Lin. "The association between copy number aberration, DNA methylation and gene expression in tumor samples." Nucleic Acids Res 46, no. 6 (2018): 3009-3018.
McCabe, Sean D., Dan-Yu Lin, and Michael I. Love. "Consistency and overfitting of multi-omics methods on experimental data." Brief Bioinform 21, no. 4 (2020): 1277-1284.
Tao, Ran, Donglin Zeng, and Dan-Yu Lin. "Efficient Semiparametric Inference Under Two-Phase Sampling, With Applications to Genetic Association Studies." J Am Stat Assoc 112, no. 520 (2017): 1468-1476.
He, Qianchuan, Christy L. Avery, and Dan-Yu Lin. "A general framework for association tests with multivariate traits in large-scale genomics studies." Genet Epidemiol 37, no. 8 (2013): 759-67.
Lin, Dan-Yu, and Zheng-Zheng Tang. "A general framework for detecting disease associations with rare variants in sequencing studies." Am J Hum Genet 89, no. 3 (2011): 354-67.
Lin, Dan-Yu, Donglin Zeng, and David Couper. "A general framework for integrative analysis of incomplete multiomics data." Genet Epidemiol 44, no. 7 (2020): 646-664.
Wojcik, Genevieve L., Mariaelisa Graff, Katherine K. Nishimura, Ran Tao, Jeffrey Haessler, Christopher R. Gignoux, Heather M. Highland, Yesha M. Patel, Elena P. Sorokin, Christy L. Avery et al. "Genetic analyses of diverse populations improves discovery for complex traits." Nature 570, no. 7762 (2019): 514-518.
Lin, Dan-Yu, Ran Tao, William D. Kalsbeek, Donglin Zeng, Franklyn Gonzalez, Lindsay Fernández-Rhodes, Mariaelisa Graff, Gary G. Koch, Kari E. North, and Gerardo Heiss. "Genetic association analysis under complex survey sampling: the Hispanic Community Health Study/Study of Latinos." Am J Hum Genet 95, no. 6 (2014): 675-88.
Wong, Kin Yau, Cheng Fan, Maki Tanioka, Joel S. Parker, Andrew B. Nobel, Donglin Zeng, Dan-Yu Lin, and Charles M. Perou. "I-Boost: an integrative boosting approach for predicting survival time with multiple genomics platforms." Genome Biol 20, no. 1 (2019): 52.
Hu, Yi-Juan, Yun Li, Paul L. Auer, and Dan-Yu Lin. "Integrative analysis of sequencing and array genotype data for discovering disease associations with rare mutations." Proc Natl Acad Sci U S A 112, no. 4 (2015): 1019-24.
Tang, Zheng-Zheng, and Dan-Yu Lin. "MASS: meta-analysis of score statistics for sequencing studies." Bioinformatics 29, no. 14 (2013): 1803-5.
Tang, Zheng-Zheng, and Dan-Yu Lin. "Meta-analysis for Discovering Rare-Variant Associations: Statistical Methods and Software Programs." Am J Hum Genet 97, no. 1 (2015): 35-53.
Hu, Yi-Juan, Sonja I. Berndt, Stefan Gustafsson, Andrea Ganna, Joel Hirschhorn, Kari E. North, Erik Ingelsson, and Dan-Yu Lin. "Meta-analysis of gene-level associations for rare variants based on single-variant statistics." Am J Hum Genet 93, no. 2 (2013): 236-48.
Tang, Zheng-Zheng, and Dan-Yu Lin. "Meta-analysis of sequencing studies with heterogeneous genetic associations." Genet Epidemiol 38, no. 5 (2014): 389-401.
Tang, Zheng-Zheng, Paul Bunn, Ran Tao, Zhouwen Liu, and Dan-Yu Lin. "PreMeta: a tool to facilitate meta-analysis of rare-variant associations." BMC Genomics 18, no. 1 (2017): 160.
Lin, Dan-Yu, Donglin Zeng, and Zheng-Zheng Tang. "Quantitative trait analysis in sequencing studies under trait-dependent sampling." Proc Natl Acad Sci U S A 110, no. 30 (2013): 12247-52.
Wang, Rujin, Dan-Yu Lin, and Yuchao Jiang. "SCOPE: A Normalization and Copy-Number Estimation Method for Single-Cell DNA Sequencing." Cell Syst 10, no. 5 (2020): 445-452.e6.
Gao, Fei, Donglin Zeng, and Dan-Yu Lin. "Semiparametric estimation of the accelerated failure time model with partly interval-censored data." Biometrics 73, no. 4 (2017): 1161-1168.
Mao, Lu, Dan-Yu Lin, and Donglin Zeng. "Semiparametric regression analysis of interval-censored competing risks data." Biometrics 73, no. 3 (2017): 857-865.
Gao, Fei, Donglin Zeng, and Dan-Yu Lin. "Semiparametric regression analysis of interval-censored data with informative dropout." Biometrics 74, no. 4 (2018): 1213-1222.
Lin, Dan-Yu. "A simple and accurate method to determine genomewide significance for association tests in sequencing studies." Genet Epidemiol 43, no. 4 (2019): 365-372.
He, Qianchuan, and Dan-Yu Lin. "A variable selection method for genome-wide association studies." Bioinformatics 27, no. 1 (2011): 1-8.